Event-Driven Market Co-Movement Dynamics in Critical Mineral Equities: An Empirical Framework Using Change Point Detection and Cross-Sectional Analysis
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AI 根据所提供的论文材料归类：摘要直接使用 PELT 识别金融市场联动的变点，对应结构变化方法。
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关键矿产股票的事件驱动市场联动：变点检测与横截面分析
- 研究问题
- 关键矿产 ETF 与基准市场的联动何时发生变化，重大事件前后的羊群与反羊群行为如何变化，又是否受观察窗口影响？
- 方法与思路
- 作者将 PELT 变点检测与横截面分析结合，研究 2014—2024 年的关键矿产 ETF，并以标普 500 为比较基准。
- 材料陈述的贡献
- 摘要报告多个共同变点与重大事件时间吻合，并称投资者协调行为随市场阶段变化，且对观察期长度较为敏感。
- 阅读关注点
- 应核对变点检测对象及惩罚项、羊群行为的操作性定义，以及摘要中危机后羊群增强与反羊群增强分别对应哪些样本。
- 阅读边界
- 这是 arXiv 预印本，不能据此认定已同行评审或获期刊接收；事件时间吻合不足以确立因果，摘要对危机期行为表述需澄清。
原文摘要
This study examines market behavior in critical mineral investments using a novel analytical framework that combines change-point detection (PELT algorithm) with cross-sectional analysis. This research analyzes ESG-ranked critical mineral ETFs from March 31, 2014, to April 19, 2024, using the S&P 500 as a benchmark to evaluate market co-movements. The findings demonstrate that different critical mineral investments experienced change points at distinct times, but three major dates, July 23, 2015; March 17, 2020; and December 1, 2020, were common and aligned with global events such as the oil market shock, the COVID-19 pandemic, and later market adjustments. Herding behavior among investors increased after these shocks, following the 2015 and 2020 crises, but shifted to anti-herding after positive vaccine news in late 2020 and after the Russian invasion of Ukraine in 2022. The sensitivity analysis shows that investor coordination is strongest during market downturns but exhibits greater variation during stable periods or after major developments, with these dynamics sensitive to the length of the observation period. Additionally, anti-herding became more apparent during crises, suggesting investors reacted to specific risks rather than moving in lockstep, especially in response to geopolitical shocks.